Update docs/source/en/tutorials/secure_code_execution.mdx

Co-authored-by: Albert Villanova del Moral <8515462+albertvillanova@users.noreply.github.com>

docs/source/en/tutorials/secure_code_execution.mdx

@@ -60,7 +60,7 @@ As a result, this interpreter is safer. We have used it on a diversity of use ca
 
 However, this solution is certainly not watertight, as no local python sandbox can really be: one could imagine occasions where LLMs fine-tuned for malignant actions could still hurt your environment.
 
-For instance if you've allowed an innocuous package like `Pillow` to process images, the LLM could generate thousands of saves of images to bloat your hard drive.
+For instance, if you have allowed an innocuous package like `Pillow` to process images, the LLM could generate thousands of image saves to bloat your hard drive.
 Other examples of attacks can be found [here](https://gynvael.coldwind.pl/n/python_sandbox_escape).
 
 Running these targeted malicious code snippet require a supply chain attack, meaning the LLM you use has been intoxicated.